{"id":"W4399801074","doi":"10.1109/ichms59971.2024.10555670","title":"FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching","year":2024,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Center (category theory); Computer network; Edge device; Operating system; Telecommunications; Cloud computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033127,0.000546234,0.001080249,0.0004741455,0.000600073,0.0008292245,0.001779555,0.0009734139,0.0009673462],"category_scores_gemma":[0.00206588,0.0001655099,0.000434949,0.0008219594,0.0005135319,0.001117933,0.0009506366,0.0005557741,0.0002272916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007639239,"about_ca_system_score_gemma":0.001375858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006831075,"about_ca_topic_score_gemma":0.007506271,"domain_scores_codex":[0.9993604,0.0001572349,0.00002961205,0.0001591979,0.0001459064,0.0001475511],"domain_scores_gemma":[0.9987185,0.0004464141,0.0001290424,0.0002295807,0.0003534762,0.0001229959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007230355,0.0005447057,0.004539228,0.0000861033,0.0001201525,0.0003828275,0.0001361872,0.7412949,0.008378465,0.008940311,0.005027045,0.229827],"study_design_scores_gemma":[0.00001235295,0.00005050639,0.0001120537,0.000002307052,0.000008449824,0.00004070485,0.00001083327,0.997148,0.001090964,0.001193209,0.0003253444,0.00000534261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08177378,0.000420776,0.9133968,0.0001880849,0.00008651891,0.00009505135,0.0000981514,0.001421326,0.00251953],"genre_scores_gemma":[0.9400859,0.00008671997,0.05779441,0.000142212,0.00002504839,0.00004959127,0.0001116692,0.00002001816,0.001684306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006831075,"threshold_uncertainty_score":0.01358265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383044025611283,"score_gpt":0.266357943351631,"score_spread":0.2425275030955182,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}